• Korean Journal of Oriental Medicine
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• v.14 no.3
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• pp.149-154
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• 2008

With sophisticated clinical skills and the effectiveness of Traditional Korean Medicine(TKM), many TKM doctors look forward to over seas expansion. About 450 TKM doctors had NCCAOM certificate, but only 40 TKM doctors arc in US now. Because The status of NCCAOM certificate in USA is not adequate enough for TKM doctors to perform medical treatments. In case of US, State medical boards depend to a large extent on the Educational Commission for Foreign Medical Graduates(ECFMG) for certification of international medical graduates (IMGs) seeking licensure in the United States. In addition to receiving certification that includes verification of education credentials, IMGs must pass Steps I and II of the USMLE. In order to obtain a license to practice in the United States, IMGs must successfully complete a residency in a program approved by the American Council of Graduate Medical Education(ACGME) and the complete Step III, the final step in the USMLE. TKM doctors, in the prospective of overseas expansion, applied to ECFMG and their applications have been rejected. This circumstance happened because Korea is unique country in the world with two different medical licensing system, Oriental and Western, both being physician workforce. Rejection by ECFMG occurred because of their minimal understanding of Korea's situation, while the responsibility to inform, propagate and protect TKM doctors own rights depend exclusively to Korean government, TKM doctor oneself and its related organizations, all the members should endeavor on it.

• Journal of Platform Technology
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• v.11 no.5
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• pp.72-83
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• 2023

ChatGPT, commercial launch in late 2022, has shown successful results in various professional exams, including US Bar Exam and the United States Medical Licensing Exam (USMLE), demonstrating its ability to pass qualifying exams in professional domains. However, further experimentation and analysis are required to assess ChatGPT's scholastic capability, such as logical inference and problem-solving skills. This study evaluated ChatGPT's scholastic performance utilizing the Korean College Scholastic Ability Test (KCSAT) subjects, including Korean, English, and Mathematics. The experimental results revealed that ChatGPT achieved a relatively high accuracy rate of 69% in the English exam but relatively lower rates of 34% and 19% in the Korean Language and Mathematics domains, respectively. Through analyzing the results of the Korean language exam, English exams, and TOPIK II, we evaluated ChatGPT's strengths and weaknesses in comprehension and logical inference abilities. Although ChatGPT, as a generative language model, can understand and respond to general Korean, English, and Mathematics problems, it is considered weak in tasks involving higher-level logical inference and complex mathematical problem-solving. This study might provide simple yet accurate and effective evaluation criteria for generative artificial intelligence performance assessment through the analysis of KCSAT scores.